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The effect of eating utensil weight on functional arm movement in people with Parkinson?s disease: A controlled clinical trial

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To investigate the effect of eating utensil weight on kinematic performance in people with Parkinson's disease. A counterbalanced repeated-measures design. A motor control laboratory in a university setting. Eighteen adults with Parkinson's disease and 18 age-matched controls. EXPERIMENTAL CONDITIONS: Each participant performed a food transfer task using spoons of three different weights: lightweight (35 g), control (85 g) and weighted (135 g). Kinematic variables of arm movement were derived and compared between conditions. Kinematic variables of arm movement, including movement time, peak velocity and number of movement units. Utensil weights significantly affected the movement kinematicsof all participants. Both groups had fewer movement units in the lightweight condition (Parkinson's disease group: 22.18, controls: 19.89) than in the weighted condition (Parkinson's disease group: 22.68, controls: 21.36), suggesting smoother movement in the former condition. In addition, both groups had higher peak velocity in the lightweight than in the weighted condition. Our findings suggest that a lightweight utensil may facilitate smoother and higher-velocity arm movement than a weighted one in people with Parkinson's disease.
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Clinical Rehabilitation 2009; 23: 1086–1092
The effect of eating utensil weight on functional
arm movement in people with Parkinson’s
disease: a controlled clinical trial
Hui-Ing Ma Department of Occupational Therapy and Institute of Allied Health Sciences, Wen-Juh Hwang Department of
Neurology, Pei-Luen Tsai and Yung-Wen Hsu Department of Occupational Therapy, College of Medicine, National Cheng
Kung University, Tainan, Taiwan
Received 10th November 2008; returned for revisions 21st March 2009; revised manuscript accepted 13th June 2009.
Objective: To investigate the effect of eating utensil weight on kinematic
performance in people with Parkinson’s disease.
Design: A counterbalanced repeated-measures design.
Setting: A motor control laboratory in a university setting.
Subjects: Eighteen adults with Parkinson’s disease and 18 age-matched controls.
Experimental conditions: Each participant performed a food transfer task using
spoons of three different weights: lightweight (35 g), control (85 g) and weighted
(135 g). Kinematic variables of arm movement were derived and compared
between conditions.
Main measures: Kinematic variables of arm movement, including movement time,
peak velocity and number of movement units.
Results: Utensil weights significantly affected the movement kinematics
of all participants. Both groups had fewer movement units in the lightweight
condition (Parkinson’s disease group: 22.18, controls: 19.89) than in the
weighted condition (Parkinson’s disease group: 22.68, controls: 21.36),
suggesting smoother movement in the former condition. In addition, both
groups had higher peak velocity in the lightweight than in the weighted condition.
Conclusions: Our findings suggest that a lightweight utensil may facilitate
smoother and higher-velocity arm movement than a weighted one in people with
Parkinson’s disease.
Introduction
People with Parkinson’s disease have motor
problems of tremor, rigidity and bradykinesia.
1
Many of them report difficulties manipulating
feeding utensils.
2
According to dynamic systems
theory, movement patterns are influenced by task
constraints (e.g. weight of utensils) and personal
characteristics (e.g. neurophysiological factors).
3,4
Some rehabilitation therapy textbooks
5,6
recom-
mend weighted utensils to reduce tremor and to
facilitate the manipulation of utensils. Weighted
utensils are commercially available for this
purpose.
Although recommending weighted utensils is a
long-established practice, few studies
7–9
have
Address for correspondence: Hui-Ing Ma, Department of
Occupational Therapy and Institute of Allied Health
Sciences, College of Medicine, National Cheng Kung
University, 1 Ta-Hsueh Road, Tainan 701, Taiwan.
e-mail: huingma@mail.ncku.edu.tw
ßThe Author(s), 2009.
Reprints and permissions: http://www.sagepub.co.uk/journalsPermissions.nav 10.1177/0269215509342334
investigated the efficacy of the recommendation
for people with tremor. The results of these studies
indicate that weighting may be beneficial for
people with cerebellar tremor or may change the
frequency of physiological tremor. However, they
do not show that any benefits accrue to people
with Parkinson’s disease or that weighting affects
the tremor associated with Parkinson’s disease.
A recent examination of the effects of weights
measured the amplitude and frequency of tremor
while participants with Parkinson’s disease were
holding a built-up spoon (108 g), a weighted
spoon (248 g) and a built-up spoon and a weighted
wrist cuff (470 g).
8
Consistent with previous
reports,
7–9
there were no significant differences
across conditions in any measure of tremor ampli-
tude or frequency.
10
This suggests that there is no
support for the clinical recommendation of using
weighted utensils to alleviate postural hand tremor
in Parkinson’s disease.
Another line of studies that examined the
control of grasping force in Parkinson’s dis-
ease
11–13
may also provide insight into the poten-
tial influence of weights. People with Parkinson’s
disease were asked to grasp and lift an object
of which the weight and centre of mass were chan-
ged from trial to trial. The participants showed
inaccurate scaling of fingertip force amplitude
before object lift and later implementation of
appropriate force amplitude among the digits
during the lift.
11
The results suggest impaired
coordination of multi-digit grasping forces
during object grasping and lifting. Accordingly,
weighted utensils may put people with
Parkinson’s disease at a disadvantage by compli-
cating the coordination required to hold and
manipulate a weighted utensil.
We examined the effect of weights on movement
kinematics in Parkinson’s disease. In view of
the reported impaired control of grasping force,
to have a full spectrum of weight effects,
we tested not only weighted and unweighted uten-
sils, but also a lightweight one. In addition, we
focused on kinematic analysis of movement
during a functional food transfer task, rather
than on the amplitude and frequency of tremor,
to understand the movement quality and motor
control strategies when using utensils of different
weights.
Methods
We enrolled a sample of convenience composed of
18 participants with Parkinson’s disease and 18
age-matched healthy controls. The University
Hospital Institutional Review Board approved
this study, and all participants signed the informed
consent before the experiment began. To be
included, participants had to meet the following
criteria: (1) diagnosed with idiopathic
Parkinson’s disease, (2) stable medication usage,
(3) between 40 and 75 years old, (4) normal or
corrected-to-normal vision and hearing, (5) neither
a history of neurological conditions other than
Parkinson’s disease nor any musculoskeletal dis-
orders affecting arm movement, and (6) able to
follow experimental instructions. The inclusion
criteria for the age-matched controls were identical
to criteria 3–6 above.
Design and procedures
We used a counterbalanced repeated-measures
design.
14
Each participant performed the experi-
mental task using spoons of three different
weights: (A) lightweight: 35 g, (B) control: 85 g,
and (C) weighted: 135 g. Each participant was ran-
domly assigned to one of three experimental
sequences (ABC, BCA and CAB) by means of
sealed envelopes.
When the participant arrived at the motion ana-
lysis lab, first, the maximum grip strength of the
participant’s dominant hand was measured using
the standardized procedure; the average of three
trials was recorded. Next, the participant was
asked to sit at a table and adjust their seat to a
comfortable distance from the table. A small,
empty bowl and a big soup bowl filled with
water were placed in front of the participant,
with the small bowl closer to the participant’s
body. The experimental task required the partici-
pant to reach with the spoon for the water in the
big bowl, scoop up the water, and transport it
back and into the small bowl. We controlled the
distance between the small and big bowls by mark-
ing the table and placing the bowls on the same
markings for each test.
For each condition, the participants performed,
at their own pace, three successive scoops for
Effect of utensil weight in Parkinson’s disease 1087
practice, and then, after a short break, the partic-
ipant performed 10 successive scoops for the test.
Only the test trial was used for kinematic analysis.
The instruction was to ‘Do the task as you would
normally do it and don’t spill out the water.’ If
water spilt from the spoon, the trial was discarded
and then redone. All participants did the task suc-
cessfully without apparent tremor hindering their
performance.
Materials
A big soup bowl (17.5 cm in diameter, 5.5 cm
high) and a small bowl (10.5 cm in diameter,
5.2 cm high) were used. A spoon was designed
with a plastic tube-shaped handle, into which stan-
dard weights could be placed. The handle was
10.2 cm long with a diameter ranging between
2.5 cm at the end and 1.9 cm where spoon was
attached. The handle was cone-shaped to fit com-
fortably in the hand. A survey of utensils on the
market revealed that a lightweight spoon weighed
between 30 g and 45 g. Therefore, we made our
lightweight spoon 35 g, our control spoon 85 g,
and our weighted spoon 135 g.
Measures
We measured each participant’s grip strength
using a hand dynamometer (Jamar; FEI,
Irvington, NY, USA). In addition, a three-dimen-
sional ultrasonic measuring system (CMS-HS;
Zebris Medical GmbH, Isny, Germany) was used
to collect movement kinematics. The CMS-HS uses
microphone markers that receive ultrasonic signals
from a fixed set of transmitters in a measuring unit.
One marker was attached to the radial styloid of the
participant’s dominant hand to record arm move-
ment. The position of the marker over time was
sampled by the system at a frequency of 50 Hz; spa-
tial resolution was 0.085 mm. After being collected,
the data were stored for off-line analysis. The three-
dimensional position data were filtered using a
non-parametric regression method with kernel esti-
mates of order (vþ4).
15
The bandwidths for data
smoothing were 50 ms for the position signal and
70 ms for the velocity signal.
16
The following kinematic variables were included
as dependent variables: movement time, amplitude
of peak velocity, percentage of movement time for
acceleration phase and number of movement
units. Movement time is the length of time it
took to execute the movement: the faster the
movement, the shorter the movement time. Peak
velocity is the highest instantaneous velocity
during the movement. The amplitude of peak
velocity is correlated with the functional efficacy
of a motor system
17
and the force of a move-
ment.
18,19
The higher the peak velocity, the more
forceful the movement and the less the unneces-
sary premovement co-contraction.
In addition, when the hand reaches for a target,
it generally accelerates first toward the target and
then decelerates to change the direction or correct
the trajectory.
20
The percentage of movement time
for acceleration phase reflects the time used to
accumulate the impulse for movement relative to
the whole movement time. Finally, a movement
unit consists of one acceleration phase and one
deceleration phase.
21
A smooth movement would
have only one change in the direction of the forces
and, therefore, only one movement unit.
For each trial, movement was dissected into
‘reach’ and ‘return’ segments because of the oppo-
site directions involved in these two segments.
Kinematic scores for peak velocity and percentage
of movement time for acceleration phase were sep-
arately derived for each segment. For movement
time and number of movement units, because their
quantity can be added, their kinematic scores were
the sum of scores in reach and return segments.
Statistical analysis
Three (weight condition: lightweight vs. control
vs. weighted) 2 (group: Parkinson’s disease vs.
control) mixed analyses of variance (ANOVAs)
were computed on the kinematic scores.
Omnibus F-values derived from the 3 2 mixed
ANOVAs indicated whether there were any statis-
tically significant differences between the three
conditions (non-directional).
To understand the trend of performance, con-
trast weights (:1, 0, þ1) of linear trend were
assigned to the conditions to derive a focused F.
22
Focused Fwas further used to calculate the effect
size r. Effect size indicates the magnitude of the
effect and is free from sample size influence.
1088 Hui-Ing Ma et al.
According to Cohen,
23
an rof 0.10 indicates a
small effect, of 0.30, a moderate effect, and of
0.50, a large effect. Commercial statistical software
(SPSS version 13.0; SPSS Inc., Chicago, IL, USA)
was used to analyse the data.
Results
Table 1 shows the characteristics of study partici-
pants. There was no significant difference between
the Parkinson’s disease and control groups in age
(t¼0.98, P¼0.33) or grip strength (t¼0.53,
P¼0.60). Most of our participants were at mod-
ified Hoehn and Yahr stage
24
2, meaning that their
symptoms were bilateral and they had minimal
disability. In addition, evaluation by the Unified
Parkinson’s Disease Rating Scale
25
indicated that
most participants with Parkinson’s disease were
somewhat slow and clumsy when using utensils,
and most had slight resting tremor, postural
tremor and rigidity in their dominant hand. With
respect to bradykinesia, the participants had some
mild slowing or reduced amplitude, or both, in
their dominant hand movement. One of the 18
participants was left-handed and was matched to
a control with the same dominant hand.
The results of mixed ANOVA indicated that the
group-by-condition interaction effect was not sig-
nificant for any of the dependent variables. For
the effect of spoon weight, we found significant
results for peak velocity, percentage of movement
time for acceleration phase and number of move-
ment units (Table 2). Peak velocity was lower
when the Parkinson’s disease group and control-
group participants used a heavier spoon for the
reach (focused F(1,34) ¼6.82) and return
(F¼4.37) segments. The participants also spent a
higher percentage of movement time accelerating
when using a heavier spoon to reach for the soup
in the big bowl (F¼7.37). In addition, the partici-
pants showed more movement units with a heavier
spoon (F¼4.35). The effect was moderate for
these significant variables. For the other variables,
the effect of spoon weight was small and non-sig-
nificant. Finally, regarding the group difference,
peak velocity was significantly lower in the
Parkinson’s disease than in the control groups
(reach: F¼9.62, return: F¼5.85).
Discussion
We showed that the movement kinematics of
people with Parkinson’s disease and controls
was affected by the weight of a utensil.
Table 1 Characteristics of study participants
Groups PD (n¼18) Controls (n¼18)
Sex, female/male 4/14 5/13
Age, mean SD, years 66.3 9.3 63.3 9.0
Grip strength, mean SD, kg 28.68 8.28 30.2 8.76
Duration of PD, mean SD, years 4 4.1 NA
Modified Hoehn & Yahr Stage,
a
mode (range) 2 (1–3) NA
UPDRS, handling utensil,
b
mode (range) 1 (0–3) NA
UPDRS, resting tremor,
b
mode (range) 1 (0–3) NA
UPDRS, postural tremor,
b
mode (range) 1 (0–3) NA
UPDRS, rigidity,
b
mode (range) 1 (0–3) NA
UPDRS, bradykinesia,
c
mode (range) 1 (0–5) NA
PD, Parkinson’s disease; UPDRS, Unified Parkinson’s Disease Rating Scale.
25
a
The Modified Hoehn and Yahr scale
24
(range 1–5) is used to evaluate the severity of PD: 1 means
mild and 5 means severe.
b
The measure was taken on the dominant upper limb only and the score can range from 0 (normal)
to 4 (severe) for each test.
c
The scores of bradykinesia were the sum of three subtests in the UPDRS: finger taps, hand
movements, and rapid alternating movements of the dominant hand. The score of each subtest
can range from 0 (normal) to 4 (severe).
Effect of utensil weight in Parkinson’s disease 1089
The participants moved with higher peak velocity,
fewer movement units and shorter acceleration
phase (in reach segment only) with a lightweight
spoon than with a weighted one. With respect to
the group difference, the participants with
Parkinson’s disease had lower peak velocity than
the controls.
While previous studies examining the effect of
weights focused primarily on measuring tremor
and found no significant effect of weights,
7–10
our study provides unique evidence that weight
affects movement kinematics during a functional
upper-extremity task in people with Parkinson’s
disease. In addition, contrary to the traditional
belief about the advantages of weighted utensils,
our results demonstrate the benefits of using light-
weight or normal-weight utensils.
Our results show higher peak velocity and lower
percentage of movement time for acceleration
phase in the lightweight condition than in the
weighted condition. A lightweight utensil requires
less force to grasp and is easier to move (less resis-
tant). Therefore, the participants’ movement can
be quickly accelerated to a high peak velocity.
The participants generated higher velocity
movements more quickly with the lightweight
utensil than with the heavier ones.
In our study, the Parkinson’s disease group had
significantly lower peak velocity and slightly
longer acceleration phase than the control group.
Although we did not measure the force of the
digits directly, the kinematic variable of peak
velocity reflects the force associated with arm
movement. Previous studies
11–13
have reported
impaired control of grasping force and late imple-
mentation of appropriate force amplitude among
the digits during object lift in Parkinson’s disease.
Our findings suggest that, compared with the con-
trols, the participants with Parkinson’s disease had
less forceful movement and took slightly longer to
accumulate the impulse for movement. Overall,
our findings, along with those in the previous
reports,
11–13
suggest that people with Parkinson’s
disease have impaired force control not only in
grasping but also in arm movement.
Although we found no significant difference in
maximum grip strength between the Parkinson’s
disease and control groups, this might have been
due to the nature of the measurement and the sim-
plicity of the task. That is, the dynamometer
Table 2 Descriptive statistics and results of inferential statistics for each condition in people with Parkinson’s disease (PD)
and age-matched controls
Dependent variable Condition (spoon weight) Condition effect Group effect
Group Lightweight Control Weighted P-value Effect size rP-value
MT
reach&return
(s)
PD 2.69 0.41 2.68 0.48 2.72 0.41 0.118 0.27 0.880
Controls 2.65 0.33 2.69 0.38 2.72 0.38
PV
reach
(mm/s)
PD 353.04 68.01 347.93 68.21 348.64 63.58 0.044 0.34 0.004
Controls 431.15 79.38 430.21 77.00 413.73 72.10
PV
return
(mm/s)
PD 239.94 35.20 237.39 40.00 232.82 34.67 0.013 0.41 0.021
Controls 281.24 62.15 271.89 60.32 272.59 64.37
PTA
reach
(%)
PD 37.44 8.63 37.63 9.05 38.35 9.59 0.010 0.43 0.139
Controls 32.51 6.50 32.19 6.52 34.81 7.95
PTA
return
(%)
PD 60.25 8.31 60.39 10.12 61.26 7.38 0.355 0.16 0.454
Controls 58.48 7.38 59.05 9.26 58.96 8.55
NMU
reach&return
PD 22.18 4.55 22.07 4.69 22.68 4.31 0.045 0.34 0.262
Controls 19.89 5.54 20.85 4.41 21.36 5.06
Values are means SD; MT, movement time; PV, peak velocity; PTA, percentage of movement time for acceleration phase;
NMU, number of movement units.
1090 Hui-Ing Ma et al.
recorded only the final outcome of the maximum
force, while the kinematic analysis delineated the
process of carrying out a movement. In addition,
using the dynamometer required the participant to
hold the apparatus in a static position and exert
maximum grip strength, while our experimental
task required the participant to coordinate finger-
tip forces with the movement of the proximal com-
ponent (i.e. arm movement). Because people with
Parkinson’s disease have difficulty temporally
coordinating multiple effectors during move-
ment,
11,26
our experimental task appears to have
been more challenging to them than the grip-
strength test. Therefore, we found a deficit of
force control in the kinematic analysis of our
experimental task, but not in the measurement of
the dynamometer. Our findings also suggest the
importance of choosing appropriate tasks and
measurement methods to understand the motor
control deficits in Parkinson’s disease.
There were limitations in this study. First, we
provided utensils weighted 35 g, 85 g and 135 g.
Our heaviest spoon was still much lighter than
the merchandized weighted utensils, which weigh
up to 200 g (7–8 oz). Although we expect the effect
of weight to be more pronounced with heavier
utensils, it is important in future research to
include utensils with heavier weight (e.g. 200 g)
to test whether even heavier utensils significantly
affect movement time and whether the heavier
utensils adversely affect movement kinematics
more in the Parkinson’s disease group than in
the control group. In addition, most of our parti-
cipants with Parkinson’s disease had slight tremor,
rigidity and bradykinesia and reported some
clumsiness when using utensils. Future research
should recruit participants with more advanced
Parkinson’s disease to determine whether the ben-
efits of lightweight utensils are similar in that
population.
In conclusion, we showed that the weight of a
utensil influences the movement kinematics of a
functional food transfer task in people with
Parkinson’s disease. A lightweight utensil elicited
higher velocity and smoother movement than a
heavier utensil. Consequently, with a lightweight
utensil, people with Parkinson’s disease may feel
better in controlling the movement and more effi-
cient in doing the task, thus reducing the
frustration caused by bradykinesia, unsteady
movement and possible food spillage.
Our study provides important evidence for
therapists to consider when making clinical recom-
mendations for adapted utensils. If the treatment
goal is to facilitate high-velocity and smooth
movement, a lightweight utensil seems to be
more appropriate than a heavier one for people
with Parkinson’s disease.
Clinical messages
The weight of a utensil influences the move-
ment kinematics of performing a functional
food-transfer task in people with
Parkinson’s disease.
To facilitate high-velocity and smooth arm
movement for people with Parkinson’s dis-
ease, a lightweight utensil seems to be more
appropriate than a weighted one.
Acknowledgement
This project was supported, in part, by grant
NSC 92–2314-B-006-027 from the National
Science Council, Taiwan.
References
1 Carr JH, Shepherd RB. Neurological rehabilitation:
optimizing motor performance. London: Elsevier,
2004.
2 Gillen G. Maximizing independence: occupational
therapy intervention for patients with Parkinson’s
disease. In Cote L, Sprinzeles LL, Elliott R,
Kutscher AH. eds. Parkinson’s disease and quality
of life. New York: Haworth, 2000: 65–67.
3 Newell KM. Constraints on the development of
coordination. In Wade MC, Whiting HTA. eds.
Motor development in children: aspects of
coordination and control. Dordrecht: Martinus
Nijhoff, 1986: 341–60.
4 Newell KM, Valvano J. Therapeutic intervention
as a constraint in learning and relearning move-
ment skills. Scand J Occup Ther 1998; 5: 51–57.
Effect of utensil weight in Parkinson’s disease 1091
5 Pedretti LW, Early MB. Occupational therapy:
practice skills for physical dysfunction,
fifth edition. St. Louis, MO: Mosby, 2001.
6 Radomski MV, Trombly LCA. Occupational
therapy for physical dysfunction, sixth edition.
Baltimore: Lippincott Williams &
Wilkins, 2008.
7 Hewer RL, Cooper R, Morgan MH. An
investigation into the value of treating intention
tremor by weighting the affected limb. Brain 1972;
95: 579–90.
8 Morgan MH, Hewer RL, Cooper R. Application
of an objective method of assessing intention
tremor - a further study on the use of weights to
reduce intention tremor. J Neurol Neurosurg
Psychiatry 1975; 38: 259–64.
9 Homberg V, Hefter H, Reiners K, Freund HJ.
Differential effects of changes in mechanical
limb properties on physiological and pathologi-
cal tremor. J Neurol Neurosurg Psychiatry 1987;
50: 568–79.
10 Meshack RP, Norman KE. A randomized
controlled trial of the effects of weights on
amplitude and frequency of postural hand tremor
in people with Parkinson’s disease. Clin Rehabil
2002; 16: 481–92.
11 Muratori LM, McIsaac TL, Gordon AM,
Santello M. Impaired anticipatory control
of force sharing patterns during whole-hand
grasping in Parkinson’s disease. Exp Brain Res
2008; 185: 41–52.
12 Rearick MP, Stelmach GE, Leis B, Santello M.
Coordination and control of forces during
multifingered grasping in Parkinson’s disease.
Exp Neurol 2002; 177: 428–42.
13 Santello M, Muratori L, Gordon AM. Control of
multidigit grasping in Parkinson’s disease: effect
of object property predictability. Exp Neurol
2004; 187: 517–28.
14 Rosenthal R, Rosnow RL. Essentials of behavioral
research: methods and data analysis, third edition.
New York: McGraw-Hill, 2008.
15 Marquardt C, Mai N. A computational procedure
for movement analysis in handwriting. J Neurosci
Methods 1994; 52: 39–45.
16 Marquardt C. 3DAwin. V 1.0. 3-Dimensional
movement analysis. Munich: MedCom, 2000.
17 Wing AM, Lough S, Turton A, Fraser C,
Jenner JR. Recovery of elbow function in volun-
tary positioning of the hand following hemiplegia
due to stroke. J Neurol Neurosurg Psychiatry
1990; 53: 126–34.
18 Flowers K. Ballistic and corrective movements on
an aiming task: intention tremor and parkinso-
nian movement disorders compared. Neurology
1975; 25: 413–21.
19 Nelson WL. Physical principles for economies of
skilled movements. Biol Cybern 1983; 46: 135–47.
20 Georgopoulos AP. On reaching. Annu Rev
Neurosci 1986; 9: 147–70.
21 Brooks VB, Cooke JD, Thomas JS. The continu-
ity of movements. In Stein RB, Pearson KG,
Smith RS, Redford JB. eds. Control of posture
and locomotion. New York: Plenum Press, 1973:
257–72.
22 Rosenthal R, Rosnow RL, Rubin DB.
Contrasts and effect sizes in behavioral research: a
correlational approach. New York: Cambridge
University Press, 2000.
23 Cohen J. Statistical power analysis for the
behavioral sciences, second edition. Hillsdale, NJ:
Lawrence Erlbaum, 1988.
24 Hoehn MM, Yahr MD. Parkinsonism: onset,
progression and mortality. Neurology 1967; 17:
427–42.
25 Fahn S, Elton R. The unified Parkinson’s disease
rating scale. In Fahn S, Marsden C, Calne D,
Goldstein M. eds. Recent developments in
Parkinson’s disease. New York: Macmillan, 1987:
153–304.
26 Bertram CP, Lemay M, Stelmach GE. The effect
of Parkinson’s disease on the control of multi-seg-
mental coordination. Brain Cogn 2005; 57: 16–20.
1092 Hui-Ing Ma et al.
... Additionally, 700,000 new cases of PD are expected to be diagnosed by 2040, based on data related to aging alone ( Rossi et al., 2018 ) Regarding the functional aspects and the restrictions to involvement in signicant activities, the person with PD presents limitations in different activities of daily living (ADLs), having dif culties speci cally in writing, dressing themselves and eating performance and satisfaction. Considering eating speci cally, the literature suggests that people with PD have dif culties handling utensils due to their motor de cits, tremors and bradykinesia ( Ma et al., 2008 ;Ma et al., 2009 ;Sabari et al., 2019 ). Eating can be described as a fundamental activity for survival and basic well-being ( Townsend & Polatajko, 2007 ). ...
... utensil weight on the eating task, recommending the use of light cutlery when the activity demands fast movement ( Hewer et al., 1972 ;Homberg et al., 1987 ;Ma et al., 2009 ;Meshack & Norman, 2002 ). This kind of AD is restricted in the Brazilian market, with some adaptations made empirically. ...
... The proposed design materialized in the functional prototype presented signicant improvements in the AD for self-feeding, partially discussed in the literature, such as the use of a larger-diameter handle in addition to the rotating movement of cutlery ( McDonald et al., 2016 ;Van Room & Steenbergen, 2006 ;Ma et al., 2008 ). Also the use of additional weight for food in the case of tremors is mentioned in Hewer et al. (1972), Hömberg et al. (1987, Meshack and Norman (2002 ), and Ma et al. (2009 ). ...
... Regarding the functional aspects and the restrictions to the involvement in significant activities, the person with PD may present limitations in different ADLs, having difficulties, especially, for writing, dressing themselves, and feeding performance and satisfaction (Heldman et al., 2011). Considering feeding specifically, the literature suggests that people with PD have difficulties handling utensils due to their motor deficits, tremors and bradykinesia (Ma et al., 2008;Ma et al., 2009;Sabari et al., 2019). Feeding is described as a fundamental activity for survival and basic well-being (Townsend & Polatajko, 2007). ...
... For people with PD, the limited rehabilitation literature suggests that weighted cutlery is the most appropriate for use (Forwell et al., 2008;Schultz-Krohn et al., 2005). However, despite the limited amount of research on the subject, some studies point to the influence of the utensil weight on the feeding task, recommending the use of light cutlery when the activity demands fast movement (Hewer et al., 1972;Hömberg et al., 1987;Ma, Hwang, Tsai & Hsu, 2009;Meshack & Norman, 2002;Morgan et al., 1975). ...
... These results point to the impact of the AT device, with functional gains in the feeding task. Thus, corroborating other studies (Hewer, et al., 1972;Hömberg, et al., 1987;Ma et al., 2008;Ma et al., 2009;McDonald, et al., 2016;Meshack & Norman, 2002;Morgan, et al., 1975;Van-Roon & Steenbergen, 2006), the increase in grip diameter and the change in tool weight improved the participant performance and satisfaction. ...
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Background Individuals with Parkinson’s disease (PD) can experience motor impairments related to their hand-use that restrict participation in daily activities. Feeding is one activity impacted by this health condition. The use of adapted utensils can improve performance and independence in this activity. Purpose To investigate if a locally designed and made eating-adaptive device helps a person with PD to improve their feeding performance. Method Single-case ABC-type experimental design. Performance and satisfaction of a 60-year-old man with PD were assessed during feeding tasks in 70 sequential days in three phases. Celeration Line, Two-Standard Deviation Band, and Visual Analysis were the methods used for data analysis. Findings Performance and satisfaction increased significantly after the introduction of the adaptive eating device. The addition of weight also contributed to the increase in the participant’s performance. Implications Adaptive eating device with low production costs and possibility of customized adjustments improves performance of people with PD.
... Practitioners must leverage their clinical experience when selecting or designing individualized assistive devices (Long et al., 2007). However, insufficient research has been conducted on the specific factors that influence the selection process; for example, the angle of the device, personal characteristics of the user, and their unique writing needs (Ma et al., 2009;McDonald et al., 2016). In the decision-making process, not only the applicability of the device but also the user's preferences must be considered (Skymne et al., 2012). ...
Article
Three-dimensional-printed assistive devices hold promise for improving writing abilities, yet factors influencing device selection and their impact on satisfaction and effectiveness remain unclear, especially in adults, as they are typically tested on children. The aim of this article is to assess the efficacy and satisfaction with a writing assistive device at different angles among individuals with brain injury and explore device selection factors. Twenty-six participants with brain injuries selected their preferred device angle. Writing speed, quality, and satisfaction were recorded. Immediate speed improvements were significant at 5° and 30° ( p = .006, .013, respectively). Satisfaction scores did not significantly differ among angles. Normotonia in elbow ( p < .001; odds ratio: 3.403) and wrist ( p ≤ .001; odds ratio: 2.695) muscles increased the likelihood of selecting the 5° device. Immediate speed improvements at specific angles highlight the influence of muscle normotonia on device selection, vital for tailored brain injury rehabilitation.
... Practitioners must leverage their clinical experience when selecting or designing individualized assistive devices (Long et al., 2007). However, insufficient research has been conducted on the specific factors that influence the selection process; for example, the angle of the device, personal characteristics of the user, and their unique writing needs (Ma et al., 2009;McDonald et al., 2016). In the decision-making process, not only the applicability of the device but also the user's preferences must be considered (Skymne et al., 2012). ...
Article
Purpose: To explore the effects of customized 3D-printed assistive technology (AT) on functional performance and feasibility in patients with neurological impairment. Methods: Patients with neurological impairment were recruited and randomized into customized 3D-printed assistive device group (group 1; n = 17) or standard device group (group 2; n = 14). The device was designed to assist their writing, spoon using, and typing. Each patient underwent 4-week intervention with the device (30 min per session, twice a week). Results: We observed significant differences in shoulder abduction (p = .00), external rotation (p = .01), and internal rotation (p = .02) in group 1. And significant differences in abduction (p = .05) and external rotation (p = .05) between the 2 groups. Group 1 achieved significant improvements in writing without AT (p = .04) and with AT (p = .02), spoon use without AT (p = .02) and with AT (p = .03), and hemiplegia-side typing with AT (p = .00). Group 2 achieved significant improvements in writing without AT (p = .01), hemiplegia-side typing without AT (p = .01), and bil-side typing with AT (P = .05). Moreover, no significant differences were noted in other outcome measures. Conclusions: This study demonstrated that customized 3D-printed AT can improve shoulder active motion for patients with neurological impairment. A positive effect in functional hand tasks after AT intervention. Offering customized AT with specific training could enhance the efficacy of interventions. The feasibility of using 3D printing technology to produce customized AT, which has the potential to be cost-effective and efficient.
... Most PD patients have tremors in hands or legs, which are observed at rest for the early phase or at voluntary movements for the late phase. The PD patients usually have trouble with heavyweight utensils where lower velocity arm movement is observed for heavier objects [25]. Some manufacturers have designed devices such as spoons for PD patients to cancel out tremors actively. ...
Article
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Parkinson's Disease (PD) is a neurodegenerative disorder that causes movement and behavioral problems. Pharmacological advancements for preventing disease progression have limited success for many PD patients; therefore, supportive care is necessary. The advancement of the digital world and the revolution of computerized applications pave the way for a better understanding of PD and inventing technological apparatus for helping PD patients to provide them a more normal life. In this review, the most recent technological advancements regarding the rehabilitation, monitoring, and early prognosis of PD are presented. Furthermore, the possible neurological mechanisms responsible for the positive effects of technological-based interventions are discussed.
... Little research has attempted to study the quantitative effect of using ADs on the hand and upper limb posture (Van & Steenbergen, 2007;Ma et al., 2008;Ma et al., 2009b;McDonald et al., 2016). These experimental studies were conducted on healthy subjects (McDonald et al., 2016) and on subjects with pathologies such as Parkinson (Ma et al., 2008;Ma et al., 2009a) or cerebral palsy (Van & Steenbergen, 2007). ...
Article
Full-text available
Assistive devices (ADs) are products intended to overcome the difficulties produced by the reduction in mobility and grip strength entailed by ageing and different pathologies. Nevertheless, there is little information about the effect that the use of these devices produces on hand kinematics. Thus, the aim of this work is to quantify this effect through the comparison of kinematic parameters (mean posture, ROM, median velocity and peak velocity) while performing activities of daily living (ADL) using normal products and ADs. Twelve healthy right-handed subjects performed 11 ADL with normal products and with 17 ADs wearing an instrumented glove on their right hand, 16 joint angles being recorded. ADs significantly affected hand kinematics, although the joints affected differed according to the AD. Furthermore, some pattern effects were identified depending on the characteristics of the handle of the ADs, namely, handle thickening, addition of a handle to products that initially did not have one, extension of existing handles or addition of handles to apply higher torques. An overview of the effects of these design characteristics on hand kinematics is presented as a basis for the selection of the most suitable AD depending on the patient’s impairments.
Article
Despite advances in treatments for tremor disorders, many patients are still left with functional disability affecting both basic and complex tasks needed for independent living, reflecting a significant gap in the current management of tremor disorders. Assistive devices present a possible solution to bridge the gap between symptom burden and current therapies, offering safe and effective tremor suppression. Although not yet considered as an option in most therapeutic guidelines for tremor disorders, assistive technologies (AT) offer a unique opportunity as adjunctive interventions utilising new portable technologies at lower cost, with minimal adverse effects. Here, the clinical concept of Human Activity Assistive Technology model via two groups of AT (limb weights and handheld devices; orthoses and exoskeletons) in patients with tremor is reviewed, supported by clinical evidence on reduction of tremor severity or improved functional performance. Although most devices are prototypes with limited clinical evidence, many are approved as medical devices and are commercially available. However, despite increased availability of these devices, there are still barriers to their adoption, mostly influenced by perceptions on privacy, trust, and functionality/added value. Long-term adherence to these devices is also unknown. In order to promote accessibility and usability of AT for tremor, an evaluation consensus by an interdisciplinary team (users, prescribers, and technicians) is required to identify those in need and to offer device recommendations. Future developments of AT for tremor should improve user comfort by incorporating softer, lightweight materials and explore new mechanisms to enhance wearability and long-term efficacies. This article is part of the Special Issue "Tremor" edited by Daniel D. Truong, Mark Hallett, and Aasef Shaikh.
Chapter
It is generally accepted that one need to select the correct tool for a given task. The same holds for eating utensils. A cake eating experiment was designed to determine if the visual appearance of cakes with different associated hardness would affect the choice of eating utensil. A total of 25 participants was recruited. The results did not reveal any effect of cake type, or presentation layout on the choice of eating utensil. It therefore seems that other factors, such as, for instance, customs and/or habits, are more influential in the choice of cake eating tool choice.
Chapter
A study was made of self-initiated and self-terminated elbow movements made by Cebus monkeys during performance of a self-paced step-tracking task. Movements were termed “continuous” if their acceleration traces crossed the zero line only once, and “discontinuous” if there was more than one zero crossing. Parameters of continuous and discontinuous movements were measured. Acceleration in continuous movements could oscillate at 7–8 Hz (“deviations”), and in discontinuous movements at 3–4 Hz (“steps”). Steps of discontinuous movements became smaller as movements approached their targets. Amplitudes of continuous movements and of steps were highly correlated to their durations, and fitted the same regression line. It is concluded that the variations of acceleration of continuous and discontinuous movements appear locked into harmonics of the same frequency. Their relationship to physiological tremor is discussed.
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The role of therapeutic intervention in the context of dynamical systems approaches to motor control is outlined. In particular, we develop the idea of viewing intervention by the therapist as being a constraint on action that interacts with boundary conditions already present from the environment, individual and task. The physical or informational constraints imposed on individuals learning or relearning a task act as control parameters in moving the system through its potential state space. The challenge for the therapist, then, is in selecting the physical or informational constraint that induces an efficient and effective search strategy for task-relevant qualitative and quantitative change and functional output in the movement dynamics.
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Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be familiar with the principles and procedures of contrast analysis included here. But they, for the first time, will also be presented with a series of newly developed concepts, measures, and indices that permit a wider and more useful application of contrast analysis. This volume takes on this new approach by introducing a family of correlational effect size estimates. By returning to these correlations throughout the book, the authors demonstrate special adaptations in a variety of contexts from two group comparison to one way analysis of variance contexts, to factorial designs, to repeated measures designs and to the case of multiple contrasts.